Automation index

How much of a Pastry chef’s job can AI already do?

Costing and a cake design come earlier. Tempering chocolate and stacking a millefeuille that does not collapse do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

17%

AI can already do 17% of this job.

#605 / 643

Pastry chef

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

Task	Share	AI	Points
Design menus, cost and cake orders. Estimate No public source provides a precise figure. This is our estimate.	16%	35%	+5.6
Doughs, creams and chocolate. Estimate No public source provides a precise figure. This is our estimate.	20%	12%	+2.4
Assemble, decorate and finish. Estimate No public source provides a precise figure. This is our estimate.	22%	10%	+2.2
Counter, orders and client care. Estimate No public source provides a precise figure. This is our estimate.	14%	18%	+2.5
Hygiene, cold chain and storage. Estimate No public source provides a precise figure. This is our estimate.	14%	15%	+2.1
Train assistants and shop-floor pace. Estimate No public source provides a precise figure. This is our estimate.	14%	16%	+2.2
Total	100%		17%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

IS WORK OVER?

31%

#33 / 643

Information specialist

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

Task	Share	AI	Points
Classify, index and describe holdings. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Thesauri, metadata and the internal search. Estimate No public source provides a precise figure. This is our estimate.	16%	52%	+8.3
Answer queries and retrieve what nobody can find. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Records policy, retention and destruction. Estimate No public source provides a precise figure. This is our estimate.	18%	22%	+4
Train people who file badly and people who do not file. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
The organisation’s memory, and not losing it. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		30%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low